Surface Defect 3D Reconstruction of Object Based on Binocular Vision

被引:0
|
作者
Wu, Zai-Xin [1 ]
Guan, Yi [1 ]
Yao, Feng-Wei [1 ]
Yan, Cheng-Zhi [1 ]
机构
[1] Lanzhou Univ Technol, Coll Mech & Elect Engn, Lanzhou 730050, Gansu, Peoples R China
关键词
Binocular Vision; Cosine Distance; 3d Reconstruction; Sift Algorithm;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Discussed the basic principle, key steps and main framework of 3d reconstruction system based on binocular vision from whole aspects. To avoid the problem of repeated or error feature matching and time-consuming in traditional matching rules based on sift algorithm and Euclidean distance. This paper presents an improved sift algorithm using cosine distance to match feature in a limited range. Reconstructing and texture mapping the 3d information of surface defect of object by the software of opengl. The experimental results show this method can enhance the speed and the precision of feature matching and be more precise to the surface defect 3d reconstruction of object.
引用
收藏
页码:519 / 524
页数:6
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